
\begin{table}[htbp]
   \caption{\label{tab:figure6_regs} Dynamic Treatment Effects of PESA Adoption on 
   Forest Index using Propensity Score (PS) and 
   Covariate Balancing Propensity Score (CBPS)  Matching}
   \centering
   \begin{tabular}{lcc}
      \tabularnewline \midrule \midrule
                                     & PS Matching            & CBPS Matching \\   
                                     & (1)                    & (2)\\  
      PESA X Scheduled               & $NaN\times 10^{-Inf}$  & $NaN\times 10^{-Inf}$\\   
                                     & $NaN\times 10^{-Inf}$  & $NaN\times 10^{-Inf}$\\   
      Lead Year 1 X PESA X Scheduled & 0.0150                 & 0.0150\\  
                                     & 0.0020                 & 0.0020\\  
      Lead Year 2 X PESA X Scheduled & -0.0110                & -0.0110\\  
                                     & 0.0030                 & 0.0030\\  
      Lead Year 3 X PESA X Scheduled & 0.0270                 & 0.0260\\  
                                     & 0.0040                 & 0.0040\\  
      Lead Year 4 X PESA X Scheduled & 0.0450                 & 0.0440\\  
                                     & 0.0050                 & 0.0050\\  
      \midrule \emph{Summary Statistics} &  & \\
      Mean Pre-Y (Non-Sch)           & 8.809                  & 8.809\\  
      Mean Pre-Y (Sch )              & 12.30                  & 12.30\\  
      Dataset                        & VCF                    & VCF\\  
      Timespan                       & 1995-2017              & 1995-2017\\  
      \midrule
      \emph{Fixed-effects}\\
      Pixel                          & $\checkmark$           & $\checkmark$\\   
      Year                           & $\checkmark$           & $\checkmark$\\   
      \midrule
      \emph{Fit statistics}\\
      \# Pixel                       & 30,843                 & 30,843\\  
      \# Year                        & 22                     & 22\\  
      \# Observations                & 678,546                & 678,546\\  
      \midrule \midrule
       \\
   \end{tabular}
\end{table}


